85 results about "Environmental evaluation" patented technology

The invention relates to the technical field of environment evaluation, and discloses a multi-dimensional environment comprehensive evaluation method and system, and the method comprises the steps: carrying out the comprehensive image shooting of an environment through an unmanned plane carrying device, constructing an environment real scene model through combining laser scanning point cloud data and an algorithm, and providing a precise reference for the layout of a sensor. The method comprises the following steps: selecting proper sensors according to requirements and arranging the sensors; ensuring comprehensive coverage; setting an evaluation period; collecting environmental parameter values, constructing Bayesian network fusion data to obtain parameter evaluation values, calculating actual comprehensive evaluation values by combining subjective weights and objective weights, reflecting environmental conditions, and collecting historical data. And constructing an ARI MA model to predict an environmental parameter evaluation value in the next evaluation period, evaluating the prediction precision, if the precision is low, generating a prediction deviation signal, collecting data in real time in the evaluation period, constructing a complex time sequence, training a CNN-LSTM model for prediction, obtaining a prediction comprehensive evaluation value, and performing comprehensive evaluation on an environmental evaluation area.

The invention discloses an island ecological restoration effect comprehensive evaluation method, and particularly relates to the technical field of ecological environment evaluation. Obtaining a restoration area ecological basic parameter set, and constructing an original ecological characteristic matrix; calculating a restoration response curve based on the time sequence change characteristics, and determining the restoration response weight of each ecological factor; calculating a restoration net effect through a normalized difference model of parameters of a contrast area, and eliminating the influence of natural fluctuation; inputting the net effect vector into an ecological system structure coupling model, and quantifying the coupling strength between ecological factors to obtain a restoration comprehensive contribution degree; further performing space-time interpolation analysis to form a restoration effect distribution matrix and calculating a restoration vulnerability index; generating a repair optimization suggestion set according to a threshold value distribution result, and outputting a comprehensive evaluation report; according to the method, dynamic quantification and systematized diagnosis of the ecological restoration process are realized, the spatio-temporal evolution characteristics and restoration effect differences of the island ecosystem can be accurately reflected, and a scientific basis is provided for ecological restoration optimization and intelligent decision making.

The invention discloses a multi-scene-oriented AI fire safety monitoring and automatic early warning system, and belongs to the technical field of fire monitoring, and the system comprises a data collection module which is used for periodically collecting environment factor data influencing a fire hazard, and obtaining a basic data set; the environment evaluation module is used for calculating an environment evaluation value by utilizing the environment factor data in the basic data set; the monitoring mode selection module is used for selecting an intelligent monitoring mode, a multi-source fusion monitoring mode and a sensor monitoring mode according to the environmental evaluation value; the fire-fighting evaluation module is used for evaluating the possibility of fire occurrence according to the selected mode; and the early warning module is used for generating and sending early warning information according to the evaluation result. According to the invention, by adopting an intelligent data processing and analysis technology, a monitoring mode can be flexibly selected and the possibility of fire occurrence can be accurately evaluated according to different environmental factors and scene characteristics, so that early warning information can be sent out in time, and a powerful guarantee is provided for life and property safety of people.

The invention relates to a multi-angle comprehensive evaluation system and method for a domestic sewage treatment process, and the system comprises a technical evaluation module, an economic evaluation module, an environment evaluation module, a comprehensive evaluation module and an analysis module, and constructs a technical efficiency evaluation index TEA according to an effluent stability index and the stability of technical operation; taking the weighted sum of the macroscopic cost evaluation index, the cost evaluation indexes of different types and the cost evaluation indexes of different stages as an economic evaluation index EA; the comprehensive environmental evaluation index CEA is equal to CEAS + CEAG-delta CEAW; the results of the technical evaluation module, the economic evaluation module and the environment evaluation module are obtained, and a weighted summation result is used as a comprehensive evaluation result CE; relative advantages and disadvantages of the domestic sewage treatment process are integrally evaluated through CE, and technical, economic or environmental improvement measures can be taken according to relative sizes of output results of the technical evaluation module, the economic evaluation module and the environmental evaluation module. According to the method, the actual operation state of the technology can be presented more accurately, and the evaluation accuracy is improved.

The invention discloses a natural resource environment quality comprehensive evaluation method and system based on spatial distribution, and relates to the technical field of environment evaluation. The evaluation method comprises the steps of S1, determining an evaluation target and an evaluation range, S2, collecting and processing data, S3, constructing an evaluation index system, S4, implementing comprehensive evaluation, S5, establishing a dynamic weight adjustment mechanism, and S6, analyzing a result and formulating a strategy. The method is technically characterized in that a related mechanism of weight adjustment triggered by abnormal indexes is established, on one hand, the recognition and feedback capability of key problems is enhanced, and on the other hand, conversion of an evaluation system from static evaluation to dynamic response is promoted, so that the problems that traditional evaluation results are lagged and ecological environment changes cannot be reflected in time are solved, and the evaluation efficiency is improved. According to the method, the closed-loop regulation and control capability of dynamic adjustment and optimization is embodied, after a primary weight correction action is carried out, when a certain index deviates from a normal threshold value, a secondary weight correction program is automatically started, and the system weight of a criterion layer where the index is located is improved.

Aspects of the disclosure provide for controlling behaviors of autonomous vehicles based on evaluation of sensors of those vehicles. For instance, sensor data including distance and intensity information for a point in an environment of an autonomous vehicle may be received. An expected intensity value from a pre-stored fair weather reference map may be identified based on a location of the point. An effective detection range for the sensor may be dynamically determined based on the expected intensity and the intensity information for the point. A behavior of the autonomous vehicle may be controlled based on the effective detection range.

The present disclosure relates to ESG (Environment, Social, Governance) management devices comprising, an ESG diagnosis module configured to generate ESG diagnosis results for a target company based on a plurality of ESG evaluation items including environmental evaluation items, social evaluation items, governance evaluation items, and general evaluation items; a materiality topic selection module configured to select materiality topics corresponding to the target company from among ESG topics included in an ESG topic pool; an ESG report generation module configured to generate an ESG report based on the ESG diagnosis results and responses to the materiality topics; and an ESG management support module configured to provide an ESG management screen including at least one of the ESG diagnosis results, the materiality topics, and the ESG report.

The invention discloses a comprehensive evaluation method for soil pollution in a decommissioned uranium mine area, relates to the technical field of environmental evaluation, and solves the technical problem that a soil pollution evaluation method is not clear due to lack of soil pollution data in an existing decommissioned uranium mine area. According to the technical scheme, the method is characterized in that the influence of radionuclides, environmental ecology, environment and biological effects in the decommissioned uranium mine area soil on the soil quality is comprehensively considered, key influence factors influencing the uranium mine area soil quality can be screened out, and the problems that existing data is lack, and a research method is not clear are solved; and a basis is provided for subsequent sustainable utilization of soil and environmental health.

The invention relates to a pressure sensing inverse echo measurement LSTM short-time sea wave significant wave height prediction method, and belongs to the technical field of marine environment parameter inversion and marine dynamics observation. The method comprises the following steps: firstly, preprocessing multi-source observation data, and matching and integrating data from different sources; establishing a model, and improving the performance of the model by adjusting the structure and parameters of the model; and finally, evaluating the precision of the model, and verifying the precision and stability of the model in a complex environment. According to the method provided by the invention, a plurality of long and short-term memory network layers are combined with a plurality of full-connection layers to realize hierarchical fusion of time features, so that the prediction precision of the significant wave height of the short-term sea wave is improved, and important data support is provided for the directions of ocean dynamics, environmental evaluation and the like.

The invention relates to the technical field of regional marine environment evaluation, in particular to a method for predicting the seawater quality pollution degree based on sensitive phytoplankton. Comprising the following steps: collecting a water body sample of surface seawater in an offshore area; dNA in the water body sample is filtered and extracted, and high-throughput sequencing analysis is carried out after PCR amplification; performing species classification annotation on each sequence, and constructing a data matrix according to obtained phytoplankton OUT data; calculating a Spearman correlation coefficient; constructing an inter-species correlation matrix, and selecting proper species to construct a co-occurrence network; exporting edge data and point data, and screening nodes with the maximum betweenness centrality or the highest tight centrality as key species; calculating an organic pollution index (OPI) and carrying out Spearman correlation analysis to determine OPI sensitive phytoplankton; and establishing a prediction model for prediction to obtain a predicted environmental pollution index. The method has the advantages that model complexity and noise influence are reduced; the prediction accuracy reaches 100% when the water quality is seriously polluted.

The invention provides a method for establishing a spatial LCA data set, and relates to the technical field of life cycle evaluation and environment management, and the method comprises the steps: determining a data set target and a corresponding product / service, and defining a system boundary, a region boundary, a time boundary and a data quality requirement; then collecting basic unit process data including input / output streams and geographic positions; making a space division rule (including a space range, a grid shape and granularity) according to a region boundary and an application scene, and generating a grid system; attributing the basic unit data to the corresponding grids through space matching; aggregating the data in the grids according to a weighted average algorithm and other synthesis rules to generate synthesis unit process data; associating the grid geographic position identification to form grid unit process data; and finally, storing the original data and processing records in standard formats such as ILCD / EcoSpold2 and the like. The time-space consistency, traceability and multi-scene adaptability of data are ensured through a systematic process, and the method is suitable for the fields of environmental evaluation, carbon accounting and the like.

The uncertainty analysis method of the environmental impact accounting of electrocatalytic membranes based on Monte Carlo simulation relates to the field of environmental evaluation of electrocatalytic membranes. The present invention aims to solve the problems of complex operation, time-consuming and labor-intensive in traditional methods. The present invention is based on the Monte Carlo random sampling method, adopts the total environmental impact load evaluation model of the electrocatalytic membrane, obtains the influence of resources and energy on environmental impact indicators during the life cycle of the electrocatalytic membrane, screens out key factors through sensitivity analysis, and then performs uncertainty analysis through Monte Carlo simulation to obtain the uncertainty range of the environmental impact of the electrocatalytic membrane. The present invention can quantitatively and objectively analyze the environmental impact of each indicator during the life cycle of the electrocatalytic membrane, judge the main environmental impact and uncertainty range of the electrocatalytic membrane, has accurate evaluation, convenient operation, small subjective influence, and broad application prospects. It has certain mathematical and physical meanings, high reliability, can be extended to other models, and has certain practical value.

This environmental evaluation method includes: acquiring impact information indicating an impact on the environment caused by the use of energy by an operating device (400) that operates by being supplied with energy; acquiring consumption information indicating the amount of energy consumed by the operating device; and calculating an environmental evaluation value indicating an evaluation of the operating device with respect to the environment, corresponding to the amount of energy consumed, on the basis of the impact information and the consumption information.

The invention relates to the technical field of environment evaluation, in particular to an abandoned mine geological environment comprehensive evaluation method, a medium and equipment. The method comprises the following steps: constructing an abandoned mine geological environment comprehensive evaluation index system; determining the optimal subjective weight of the evaluation index based on a fuzzy analytic hierarchy process and an IRMO algorithm; determining objective weights of evaluation indexes based on an entropy weight method; based on the game theory, determining the comprehensive weight of the evaluation index; and dividing evaluation grades, calculating the membership degree of the evaluation object to each evaluation grade based on a fuzzy comprehensive evaluation method, and determining the evaluation grade of the evaluation object according to a maximum membership degree principle. Subjective and objective coordination of evaluation index weights, geological conditions, mine resource damage and loss degrees and geological environment problems are considered; the IRMO algorithm is introduced, the subjective weight obtaining method of the fuzzy analytic hierarchy process is optimized, the influence of the expert level on the judgment matrix in the existing analysis method is weakened, the credibility of the weight is improved, and the final evaluation result is more reliable.

The present invention belongs to the field of task execution environment evaluation, and particularly relates to a method and system for comprehensively evaluating the environmental cost of a task plan based on spatio-temporal voxels. A spatio-temporal comprehensive environmental impact model for describing the laws of spatio-temporal environmental impact for tasks is constructed in a spatio-temporal coordinate system; the spatio-temporal comprehensive environmental impact model is rasterized to construct spatio-temporal voxels, and the spatio-temporal trajectory during the execution of the task plan is obtained through trajectory tracking. The comprehensive environmental cost of the task plan is calculated according to the occurrence and accumulation laws of the cost of the spatio-temporal voxels passed through. By constructing a comprehensive environmental impact model based on spatio-temporal voxels, the present invention extends the time dimension on the basis of the spatial cost law of the task environment to realize the situation of continuous change in time at any point in space, can reflect the impacts of various factors of time and space on the task, comprehensively and reasonably realizes the spatio-temporal environmental evaluation of the task plan, and the analysis principle is close to the actual situation, having a good application prospect.

The invention discloses an asphalt flue gas collection and detection device and a comprehensive environment evaluation method thereof, and belongs to the field of road engineering.The device comprises an environment simulation module used for simulating the asphalt modification treatment process and providing various simulation environments; the asphalt flue gas collection and real-time detection module is used for detecting flue gas components to obtain detection data and transmitting the detection data after the environment simulation module is started; the data processing module is used for receiving the detection data and carrying out asphalt flue gas comprehensive environment evaluation based on the detection data; and the asphalt waste gas treatment module is used for treating asphalt waste gas after the asphalt flue gas collection and real-time detection module finishes working. By integrating the comprehensive environment evaluation method, materials with better energy conservation and emission reduction effects can be screened out, so that an experimental basis is provided for energy conservation and emission reduction of the asphalt pavement.

The invention discloses a multi-source geological information in-situ intelligent sensing system of a micro-nano geotechnical robot. The system comprises a micro-nano rock-soil robot cluster, an energy supply unit, electromagnetic modified micro-nano particles, a main control unit and an injection-production system. The micro-nano rock-soil robot is composed of a micro-nano sensor, a power supply, a communication module and a control module, and the sensor can be a temperature sensor, a ground stress sensor, a fluid pressure sensor, a microbial sensor, an ion concentration sensor and a pH value sensor according to monitoring requirements so as to realize monitoring and acquisition of multi-source geological information. And the main control unit processes the monitoring data by using a machine learning technology and comprehensively reconstructs underground information. The system can realize multi-dimensional monitoring of geological information, and promotes research and application in the fields of deep engineering construction, underground resource mining and environmental evaluation.

The invention relates to the technical field of geological exploration, and discloses a geological exploration system suitable for offshore and specific regional water bodies, which comprises a data integration unit, a data receiving unit and an intelligent analysis unit, and is characterized in that the data integration unit is used for collecting an environment data set, an equipment data set and a historical data set; the data receiving unit is used for numbering and storing a collected environment data set, an equipment data set and a historical data set, the intelligent analysis unit is used for calculating an environment influence coefficient and an equipment initial precision coefficient, and the judgment module is used for calculating an equipment environment evaluation value and carrying out abnormity judgment on the equipment initial evaluation value. And a signal is sent to the feedback module for feedback under the condition of judging that abnormity exists, so that challenges caused by environmental changes and the initial working state of the equipment can be found in time, the equipment can still operate stably in a severe environment, faults and downtime caused by environmental factors are reduced, and the service life of the equipment is prolonged. And meanwhile, the decline trend of equipment performance can be found in time.

The application provides a UAV inspection route determination method, device, equipment and medium. The UAV inspection route determination method comprises: a. obtaining basic geographic information, environmental state data and task requirements of a target area, wherein the geographic information of the target area is obtained through remote sensing data, the environmental state data is collected in real time through a sensor, and the task requirements include a starting point, an ending point of the inspection path and specific tasks of the inspection. The UAV inspection route determination method, device, equipment and medium introduce an environmental factor correction model and an adaptive optimization algorithm, thereby solving the problem that dynamic environmental changes are not fully considered in traditional path planning. The environmental factor correction model can pre-process the path in real time according to external factors such as wind speed, air temperature and atmospheric pressure, thereby generating a more accurate environmental evaluation map, and providing more comprehensive reference data for path planning.

The invention discloses a residential quarter livability evaluation method considering different crowd preferences, and particularly relates to the technical field of human settlement environment evaluation, which comprises the steps of obtaining vector and attribute data of residential quarters in a city, constructing an evaluation basic data set, and constructing an evaluation system containing five-dimensional and three-level indexes such as living safety. And performing quantitative statistics and geographic space indexes, grouping questionnaires according to ages to obtain index weights, and performing weighted summation to obtain a residential quarter livability evaluation result considering crowd preferences. The method focuses on smaller spatial scale to carry out evaluation, gives consideration to objective environmental factors and subjective preferences of different crowds, adopts an adaptive quantification mode for different types of data, accurately measures the influence of various geographic space factors, fully distinguishes the demand differences of different age groups, enables the evaluation result to better fit an actual living scene, and improves the evaluation efficiency. The accuracy and rationality of human settlement environment evaluation are improved, a reliable basis is provided for urban planning and human settlement environment improvement, and ordered promotion of differentiated community construction is supported.

The invention provides an environmental protection evaluation method and system for an industrial dust removal system, electronic equipment and a storage medium, and the method comprises the steps: obtaining multi-source heterogeneous data of a dust collection point in the industrial dust removal system during dust removal, and carrying out the recognition of the multi-source heterogeneous data, and determining index data; performing weighted calculation according to the positive index and the negative index to which the index data belongs, and determining the environmental protection score of each operation stage in the evaluation period of the single dust collection point; performing weighted calculation according to the corresponding stage weight and the environmental protection score in each operation state, and determining a point location comprehensive score of the dust collection point in the evaluation period; and weighting the point location comprehensive score of each dust collection point, and calculating the environmental protection comprehensive score of the industrial dust removal system in the evaluation period. Through integration of multi-source heterogeneous data, scientific classification indexes, dynamic weighted calculation and hierarchical aggregation, comprehensive and accurate evaluation of the environmental protection performance of the industrial dust removal system is realized, and evaluation objectivity and accuracy are improved.

The invention relates to the technical field of environmental protection data analysis, in particular to an environmental protection service management method and management system, a medium and a program product, and the method comprises the steps: collecting multi-dimensional environmental data, determining basic features, spatial-temporal features and derivative features corresponding to the multi-dimensional environmental data, and determining the spatial-temporal features of the multi-dimensional environmental data according to the basic features, the spatial-temporal features and the derivative features; determining the layer weight of each functional layer in the preset machine learning model; optimizing an initial loss function used by the preset machine learning model in the training stage based on each layer weight corresponding to the preset machine learning model to obtain a target loss function; training a preset machine learning model based on the target loss function to obtain a target machine learning model, and importing the multi-dimensional environment data into the target machine learning model to obtain an environment evaluation report corresponding to the multi-dimensional environment data; and obtaining an environmental protection demand provided by the user, and generating an environmental protection service feedback scheme based on the environmental protection demand and the environmental evaluation report. The evaluation precision of the environmental protection evaluation service can be improved.

The invention discloses a building full life cycle environment evaluation management method based on a BIM technology, and belongs to the technical field of building management, and the method specifically comprises the steps: creating a digital material label containing raw material composition, a residual life prediction value and a preset recovery process path for each building component in a BIM model, binding material batch number information and writing detection report data into a label extension attribute library; the stress deformation data of the component are collected through the Internet of Things equipment, and the residual life prediction value is dynamically corrected; during building demolition, a robot scans to obtain a damage image, and identifies internal structure defects in combination with material components; activating an environmental benefit simulation engine to generate an adaptive regeneration path based on the corrected life and defect; and finally, calculating the carbon emission equivalent, and generating a component-level recovery process environmental benefit comparison report. According to the invention, fine management of environmental benefits in the whole life cycle of the building is realized, and the resource regeneration efficiency and the environmental protection level are improved.

A data collection and data management platform for environmental consulting provides for recording, reporting, analyzing and predicting the environmental impact and potential land use risk and opportunity of projects. The platform provides for collected data to be uploaded to a database and accessed for editing, manipulating, assigning, and managing the collected data. The platform is operable to be utilized for environmental evaluation and consulting, and more specifically for wetland determination, including wetland delineation, as well as stream identification, and natural resource and habitat monitoring. The platform provides for analyzing data and uses an artificial intelligence engine to monitor, predict, and support land use risk and biodiversity impact.

The invention is suitable for the technical field of environmental assessment detection, and provides a multi-source heterogeneous data association method and system for environmental assessment detection. According to the invention, environmental assessment detection collection is carried out on a plurality of environmental assessment detection nodes; carrying out abnormal initial identification on the plurality of current detection data, and judging whether a suspicious anomaly exists or not; when there is a suspicious anomaly, performing multi-source numerical correlation calculation of inverse distance interpolation to obtain current estimated data; performing heterogeneous association comparison of type numerical values on the current estimated data and the current suspicious data, and recording comparison information; and determining whether there is a real detection abnormality. According to the method, abnormal initial identification can be carried out, multi-source numerical correlation calculation of inverse distance interpolation is carried out when suspicious anomalies exist, current estimated data are obtained, heterogeneous correlation comparison of type numerical values is carried out on the current estimated data and the current suspicious data, and whether true detection anomalies exist or not is judged, so that unified and correlated data anomaly identification judgment is realized; and the accuracy of environmental assessment detection results is ensured.

The invention relates to the technical field of air detection, in particular to a convenient-to-clean detection device for environmental assessment, which comprises a detection shell and a detection mechanism, a filtering dust removal plate is arranged on one side of the detection mechanism, a dust scraping rod is arranged on the outer side surface of an impeller, a dust scraping brush is arranged on the dust scraping rod, and a dust removal mechanism is slidably arranged on the filtering dust removal plate. The dust removal mechanism comprises a guide rod and a dust scraping plate, the dust scraping plate abuts against the dust scraping brush, and a chip groove is formed in the bottom of the detection shell. The detection mechanism can be directly clamped into the detection shell, the detection mechanism can be conveniently and directly taken out, detection elements and electrical elements can be conveniently cleaned, manual cleaning is achieved, meanwhile, a dust removal mechanism and a dust scraping rod are arranged at an air inlet, automatic cleaning can be actively achieved, the cleaning work of a detection instrument is greatly improved, and the detection efficiency is improved. The cleaning period is shortened, the cleaning efficiency is improved, and meanwhile the service life of the detection element and the electrical element can be prolonged.

The invention relates to an air supply equipment control method and device, electronic equipment and a storage medium. The method is applied to the air supply equipment, a plurality of environment detection sensors are deployed on the air supply equipment, each environment detection sensor is used for collecting different types of environment information, and the method comprises the following steps: obtaining various different types of environment information collected by the plurality of environment detection sensors; according to the various different types of environment information, environment evaluation information of the environment where the air supply equipment is located is determined; and according to the environment evaluation information, at least one of a humidifying module, an air supply module and a purifying module in the air supply equipment is controlled. By adopting the method, the control accuracy of the air supply equipment can be improved.

The application discloses a kind of energy resource development regional ecological environment comprehensive evaluation method, and is applicable to ecological environment field.Its method includes: in view of the characteristics of regional energy resource development, from energy resource development, pressure, state and response four aspects extraction ecological environment evaluation index, build DPSR model, to establish energy resource development regional ecological environment evaluation index system;Data are collected and processed, and regional characteristic index system data set is established;Design particle swarm optimization projection pursuit regional ecological environment evaluation model, quantitative analysis regional ecological environment quality;Using spatial autocorrelation analysis regional ecological environment quality spatial aggregation and dispersion characteristics;Based on geographic detector, the influence mechanism of each evaluation index on the spatial distribution characteristics of ecological environment quality is explored, and the above-mentioned comprehensive evaluation of target regional ecological environment is realized.The ecological environment condition of energy resource development region can be scientifically and accurately evaluated and analyzed, and effective technical support is provided for ecological civilization construction.

The invention discloses an extraterrestrial human settlement space human factor evaluation method based on scene simulation and virtual reality, and aims to solve the problem that the existing evaluation method does not consider the extraterrestrial gravity physiological effect, so that the ecological validity of an evaluation result is insufficient, and the human factor effects of various visual elements in an extraterrestrial human settlement environment cannot be accurately evaluated. Visual elements of an extraterrestrial human settlement space are summarized into macroscopic spatial form factors, mesoscopic interface characteristic factors and microscopic functional facility factors to obtain key visual factors, a three-dimensional reference model of the extraterrestrial human settlement space is established, an orthogonal experiment is performed based on the key visual factors to obtain an experiment scene, and the experiment scene is simulated. And according to the three-dimensional reference model and the experimental scene, generating a virtual reality scene by using three-dimensional modeling software and a virtual reality engine, presenting the virtual reality scene to the subject under the condition of simulating the extraterrestrial gravity physiological effect, synchronously collecting multi-dimensional human factor data of the subject, generating an evaluation report according to the multi-dimensional human factor data, and performing evaluation on the evaluation report. Belongs to the environment evaluation field.